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kartinw

Video-Watch

作者 kartinW · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
3546
总下载
6
收藏
37
当前安装
1
版本数
在 OpenClaw 中安装
/install video-watcher
功能描述
Analyze video content by extracting frames at regular intervals. Use when you need to understand what's in a video file, review video content, analyze scenes, or describe video without being able to play it directly. Supports MP4, MOV, AVI, MKV, and other common video formats.
安全使用建议
Install only if you are comfortable with videos being converted into still image files in the workspace. Use a dedicated output folder for sensitive videos, avoid reusing folders with existing frame_*.jpg files you need to keep, clean up extracted frames afterward, and install ffmpeg only from trusted package managers.
功能分析
Type: OpenClaw Skill Name: video-watcher Version: 1.0.0 The skill bundle is benign. The `SKILL.md` clearly describes the purpose of analyzing video content by extracting frames and provides instructions for the AI agent to use the `scripts/extract_frames.sh` script. The script itself uses standard tools (`ffmpeg`, `ffprobe`) to perform the stated task, handling video input and output directories as expected. There is no evidence of prompt injection attempts against the agent, data exfiltration, malicious execution, persistence mechanisms, or obfuscation. All actions are directly related to the stated purpose of video frame extraction.
能力评估
Purpose & Capability
The stated purpose is video analysis by frame extraction, and the script only validates a user-provided video path, reads metadata with ffprobe, and extracts JPEG frames with ffmpeg.
Instruction Scope
The workflow asks the agent to run a local extraction script and inspect generated images; this is purpose-aligned, but it means video contents are converted into separate files the agent can view.
Install Mechanism
The skill requires ffmpeg and suggests apt or brew installation. That dependency is relevant and disclosed, but users should use trusted package sources.
Credentials
The script creates an output directory and writes frame_*.jpg files there. It uses ffmpeg overwrite mode, so existing matching frame files in the selected output directory can be replaced.
Persistence & Privilege
There is no evidence of background execution, privilege escalation, credential use, or exfiltration. Extracted frames remain on disk until deleted.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install video-watcher
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-watcher 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Enable your Clawbot to watch video
元数据
Slug video-watcher
版本 1.0.0
许可证
累计安装 37
当前安装数 37
历史版本数 1
常见问题

Video-Watch 是什么?

Analyze video content by extracting frames at regular intervals. Use when you need to understand what's in a video file, review video content, analyze scenes, or describe video without being able to play it directly. Supports MP4, MOV, AVI, MKV, and other common video formats. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 3546 次。

如何安装 Video-Watch?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-watcher」即可一键安装,无需额外配置。

Video-Watch 是免费的吗?

是的,Video-Watch 完全免费(开源免费),可自由下载、安装和使用。

Video-Watch 支持哪些平台?

Video-Watch 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Video-Watch?

由 kartinW(@kartinw)开发并维护,当前版本 v1.0.0。

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